These are my learning related progress, projects, portfolios, certificates etc; they are my learning milestones ; they mark where I have been in my recent journey and also motivates me to go further.
(Check out Codecademy website for more cool Web Design learning.)
(Check out DataQuest website and DataCamp website for more exciting Data Analysis learning.)
(Click here: DataViz Journal, for more snips of my Data Visualization exploration, )
jsFiddle works in a similar way as CodePen . Comrparing betwee the two, I feel that jsFiddle may be better for collaboration work.
I like Chart.js too, which is a HTML5 based JavaScript chart. The flexibitly for customization is nice, but there is quite a bit of learning to get familiar with the parameters available.
I downloaded Singapore Housing Loan Interest Rate from Singapore MAS website. The average rates is compiled from the quoted rates by 10 leading Singapore banks and finance companies.
Looking at the past 3 years Housing Loan Interest Rate, we noticed the big jump from 2014's 2.93% to 2016's 3.41% . Hopefully, this rate will remain stable for the next few years.
Using the same set of data as previous. I have included buttons to allow user to select a specific Year.
ChartJS is JavaScript chart, so "animation" like the buttons can be added easier to allow more "interactive" features. As we click the button to select year to year, the changes between the yearly Interest Rate feel more prominent.
You can almost feel the heart pulse going up and down correspondingly.
I love Plotly ease of use and the plots can be so nice. Plotly is an online analytics and data visualization tool.
Plotly is also interactive, you can click on any options in the legend box to enable or disable the option.(However, there are some limitations for the free version.)
Here, I downloaded a particular new private residential project transacted sale price dataset from Singapore URA website. The focus is more focus on 3-bedroom units of this project.
In the plot, I am using the Triangular Moving Average, that means it is double smoothed. Triangle moving averages are most often applied to the price of an asset.
I am also using Right Alignment for my Moving Average. This is also known as Trailing Moving Average, it means that this moving average is aligned with the last observation. Right Aligned Moving Average is often preferred if you want to use it as a forecast or as a decision point.
(Click here: Bee DataViz Journal, for more snips of my Data Visualization exploration, )